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For Companies At a Glance
- Tasks: Lead end-to-end BI projects, transforming data into impactful insights.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by delivering data solutions that drive business success.
- Qualifications: Strong SQL skills and experience with Power BI and data modelling.
- Other info: Dynamic team environment with clear paths for career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Senior Full-Stack BI Engineer owns end-to-end slices of BI work – from source to transform, model, semantic layer, report/app, and release – with minimal supervision. You are trusted to deliver products stakeholders actually use and to stabilise and improve existing solutions. You also start to coach Associates, enforce standards, and deepen business domain expertise in at least one key area.
Key Responsibilities
- Own End-to-End BI Deliverables: Take defined outcomes (e.g. “give us visibility of X KPI across regions”) and deliver the full data product: Data ingestion / pipeline adjustments, transform and model design or enhancement, semantic layer (measures, relationships, RLS), reports/dashboards/paginated reports/simple apps, publication, access configuration, and basic usage guidance.
- Transformation & Modelling: Design and refine fit-for-purpose dimensional/star schemas or other models that address real stakeholder questions. Improve or refactor existing models to simplify logic and reduce report-level “gymnastics.” Implement robust refresh logic and monitor data quality across the pipeline.
- Semantic Layer & KPI Logic: Define and maintain measures, calculated columns, and relationships in Power BI datasets and Fabric/Databricks models. Implement and maintain RLS and access rules that reflect business requirements. Rework metric definitions to match how the business actually talks about performance, closing gaps between legacy definitions and current needs.
- Reporting, Dashboards & Apps: Build high-quality Power BI dashboards using agreed themes, layouts, and navigation patterns. Design and maintain paginated/operational reports for detailed or regulatory needs. Where appropriate, build or extend Power Apps or other delivery mechanisms that embed BI into workflows.
- Stakeholder Engagement: Run requirements conversations directly with business stakeholders, translating loosely defined asks into clear BI deliverables. Communicate trade-offs, constraints, and timelines in plain language. Walk stakeholders through new or updated reports, explaining structure, metrics, and how to interpret them for decisions.
- Incident Management & Support: Diagnose and fix data quality issues, refresh failures, and performance problems across the stack without heavy supervision. Trace issues from the report layer back through the semantic layer, transformations, and source systems, and fix them at the correct layer.
- Standards, Coaching & Collaboration: Review Associates’ work, providing clear feedback on why changes are needed, not just what to change. Help enforce shared standards for themes, naming conventions, KPI definitions, security rules, and documentation practices. Support continuous improvement of platform patterns and reporting frameworks.
Skills & Experience
Essential Technical Skills: Strong proficiency in SQL and practical experience with one or more of: Python, PySpark. Hands-on experience with Databricks and/or Microsoft Fabric, including pipelines/notebooks/jobs or equivalent orchestration. Deep experience using Power BI for data modelling, measures, and relationships, RLS and dataset refresh, building production dashboards and reports. Experience with paginated reports (e.g. Report Builder) and familiarity with Power Apps or comparable delivery tools.
Business & Domain Skills: Deep understanding of at least one key business domain (e.g., sales, marketing, operations, finance), including processes and workflows, core KPIs and how they’re defined, source systems of record.
Behaviours & Mindset: Operates with end-to-end ownership – does not stop at “my layer.” Uses a forensic approach to problems, finding root causes instead of patching symptoms. Models “no time-zone blame” – resolves most issues within their day or escalates with clear context. Uses AI tools deliberately as leverage for productivity, while validating outputs.
Qualifications: Degree or equivalent experience in a relevant field (Data, Computer Science, Engineering, Business Analytics, etc.). Proven experience delivering BI products in a modern BI environment (e.g. Azure, Fabric, Databricks, Power BI).
Career Progression: This role sits at the Senior level of the Full-Stack BI ladder. You are ready to move toward Staff Full-Stack BI Engineer when you can turn messy, ambiguous requests into defined data products without someone else shaping them first. You are comfortable working across multiple business domains, not just your “home” domain. Other engineers are regularly unblocked by you. When you fix something, it stays fixed and the pattern is reusable for others.
Senior Full-Stack BI Engineer employer: Neilson Financial Services Ltd
Contact Detail:
Neilson Financial Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack BI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to BI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few sample dashboards or reports that highlight your expertise in Power BI and data modelling. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Full-Stack BI Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills, especially in SQL, Python, and Power BI. We want to see how you’ve used these tools to deliver BI products that stakeholders actually use.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. We love it when candidates show they understand what we’re looking for.
Be Clear and Concise: When describing your past experiences, be clear and concise. Use straightforward language to explain how you’ve tackled BI challenges and delivered results. We appreciate direct communication!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Neilson Financial Services Ltd
✨Know Your BI Stuff
Make sure you brush up on your SQL, Power BI, and data modelling skills. Be ready to discuss how you've used these tools in past projects, especially focusing on end-to-end BI deliverables. Prepare examples that showcase your ability to transform and model data effectively.
✨Understand the Business Domain
Familiarise yourself with the key business domain relevant to the role, whether it's sales, marketing, or finance. Be prepared to discuss core KPIs and how they are defined in that context. This will show that you can translate business needs into actionable BI solutions.
✨Communicate Clearly
Practice explaining complex BI concepts in simple terms. During the interview, you'll likely need to demonstrate your ability to engage with stakeholders and translate their loosely defined asks into clear BI deliverables. Use examples from your experience to illustrate this skill.
✨Show Your Problem-Solving Skills
Be ready to discuss how you've diagnosed and fixed data quality issues or performance problems in the past. Highlight your forensic approach to problem-solving and how you ensure that fixes are sustainable. This will demonstrate your ownership mindset and commitment to quality.
